Inspiration## Inspiration
As an ethical hacker, I have seen how phishing emails and scam messages trick people into sharing sensitive information. Many users are not able to identify fake emails, which leads to financial loss and identity theft. This inspired me to build an AI-based phishing detector that can help users stay safe online.
What it does
AI Phishing Detector analyzes the content of emails or messages and predicts whether they are phishing or safe. Users can paste suspicious text, and the system provides a quick and clear result.
How I built it
I built this project using Python and machine learning. The phishing detection model was trained using a public dataset of phishing and legitimate emails. I used Scikit-learn for text classification and Flask to create a simple web interface where users can test emails in real time.
Challenges I ran into
One of the main challenges was cleaning and preprocessing text data for better accuracy. Balancing false positives and false negatives was also difficult, as phishing messages can look very similar to legitimate emails.
What I learned
Through this project, I learned more about machine learning pipelines, text preprocessing, and deploying ML models using Flask. I also gained experience in building ethical and defensive cybersecurity tools.
What's next for AI Phishing Detector
In the future, this project can be improved by adding URL analysis, browser extension support, and integration with email platforms for real-time protection.
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